Results 91 to 100 of about 31,893 (252)

Learning embeddings for multiplex networks using triplet loss

Applied Network Science, 2019
Learning low-dimensional representations of graphs has facilitated the use of traditional machine learning techniques to solving classic network analysis tasks such as link prediction, node classification, community detection, etc.
Seyedsaeed Hajiseyedjavadi, Yu-Ru Lin, Konstantinos Pelechrinis   +2 more
doaj   +1 more source

Microfluidic Engineering of Microgels: A Review of Emerging Technologies, Materials, Fabrication Strategies, and Applications

Advanced Healthcare Materials, EarlyView.
Recent advances in microfluidic technologies for microgel fabrication are critically reviewed, highlighting the capabilities and limitations of major microfluidic platforms and discussing how platform design, material selection, and crosslinking strategies influence microgel architecture and functionality. Current challenges and future opportunities in
Afshin Abrishamkar, Laura Neely, Cynthia Pham, Nada Ibrahim, Alexis Larios‐Cervantes, Ben A. Kertesz, Todd Hoare   +6 more
wiley   +1 more source

Community Detection in Multiplex Networks Using Orthogonal Non-Negative Matrix Tri-Factorization Based on Graph Regularization and Diversity

Mathematics
In recent years, community detection has received increasing interest. In network analysis, community detection refers to the identification of tightly connected subsets of nodes, which are called “communities” or “groups”, in the network.
Yuqi Yang, Shanshan Yu, Baicheng Pan, Chenglu Li, Man-Fai Leung   +4 more
doaj   +1 more source

Optimal percolation on multiplex networks

Nature Communications, 2017
Multiplex networks consist of a collection of interacting layers and occur in social and technological systems. Here Osat et al. investigate optimal percolation which relates to the process of optimally dismantling multiplex networks and show that ...
Saeed Osat, Ali Faqeeh, Filippo Radicchi
doaj   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells

Advanced Materials, EarlyView.
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang, Christopher Wöpke, Toni Seiler, Jared Faisst, Mathias List, Meike Kuhn, Bekcy Joseph, Alexander Ehm, Dietrich R. T. Zahn, Yana Vaynzof, Eva M. Herzig, Roderick C. I. Mackenzie, Uli Würfel, Maria Saladina, Carsten Deibel   +14 more
wiley   +1 more source

Discrete-time distributed consensus on multiplex networks

New Journal of Physics, 2014
We introduce a discrete-time distributed consensus process on multi-layered complex networks represented by multiplex graphs. The proposed consensus process can be characterized with a multiplex Markov chain (MC) composed of a mixture of interlayer and ...
I Trpevski, A Stanoev, A Koseska, L Kocarev   +3 more
doaj   +1 more source

Unveiling Exsolution‐Induced Giant Electronic and Magnetic Property Changes in Non‐Stoichiometric Titanate Perovskite Thin Films

Advanced Materials, EarlyView.
A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim, June Ho Lee, Yaolong Xing, Dongchang Kim, Haeseong Jeong, Mongjun Jeong, Manuel Valvidares, Stuart S. P. Parkin, Sang Ho Oh, Donghwa Lee, Hyojin Yoon, Hyeon Han   +11 more
wiley   +1 more source

Strong Coupling in Bulk Nanoplasmonic Nanoplatelet Perovskite Scintillators

Advanced Materials, EarlyView.
A bulk scintillating nanocomposite is engineered from CsPbBr3 nanoplatelets and Ag nanocubes to support exciton–plasmon strong coupling under X‐ray excitation. The resulting hybrid polaritonic states appear directly in radioluminescence, opening a route toward polariton‐enabled scintillator design beyond conventional Purcell enhancement.
Michal Makowski, Dominik Kowal, Anna Pniakowska, Kamil Misztal, Mohanad Saadeldin Eid, Joanna Cybinska, Winicjusz Drozdowski, Benoit Mahler, Christophe Dujardin, Detlef Hommel, Liang Jie Wong, Dennis Schaart, Sergio Brovelli, Muhammad Danang Birowosuto   +13 more
wiley   +1 more source